A Systematic Statistical Survey of 1,522 Pulsars : Identifying Magnetospheric and Density Anomalies via Z-Score Filtering.
This independent survey utilizes the ATNF Pulsar Catalogue (v2.70) to map physical anomalies across 1,522 pulsars. By establishing a mathematical baseline (R^2=1.0) and applying a Z-score filtering framework,the study identifies high-sigma outliers, including an 11.41-sigma Alpha candidate (J0952-0607).The Results demonstrate a scalable , automated framework for prioritizing relativistic targets in large-scale astrophysical datbases like the Square Kilometre Array (SKA).
Authors
- Anubhuti Kaushal
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-05
- DOI
- https://doi.org/10.5281/zenodo.18877589
- Primary Topic
- Pulsars and Gravitational Waves Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00